Estimating average vehicle mileage for various vehicle classes using polynomial models in deep classifiers
N Niroomand, C Bach - IEEE Access, 2024 - ieeexplore.ieee.org
Accurately measuring vehicle mileage is pivotal in precise CO2 emission calculations and
the development of reliable emission models. Nonetheless, mileage data gathered from …
the development of reliable emission models. Nonetheless, mileage data gathered from …
Segment-Based CO₂ Emission Evaluations From Passenger Cars Based on Deep Learning Techniques
N Niroomand, C Bach, M Elser - IEEE Access, 2021 - ieeexplore.ieee.org
The overall level of emissions from the Swiss passenger cars is strongly dependent on the
fleet composition. Despite technology improvements, the Swiss passenger cars fleet …
fleet composition. Despite technology improvements, the Swiss passenger cars fleet …
Machine learning for real-time fuel consumption prediction and driving profile classification based on ECU data
R Canal, FK Riffel, G Gracioli - IEEE Access, 2024 - ieeexplore.ieee.org
Data extracted directly from a vehicle's electronic control unit (ECU) play a crucial role in the
automotive industry because they contain valuable information from the engine and …
automotive industry because they contain valuable information from the engine and …
[HTML][HTML] Forecasting carbon dioxide emissions of light-duty vehicles with different machine learning algorithms
Accurate estimation of fuel consumption and emissions is crucial for assessing the impact of
materials and stringent emission control techniques on climate change, particularly in the …
materials and stringent emission control techniques on climate change, particularly in the …
A Comparative Study of Machine Learning and Deep Learning Techniques for Prediction of Co2 Emission in Cars
The most recent concern of all people on Earth is the increase in the concentration of
greenhouse gas in the atmosphere. The concentration of these gases has risen rapidly over …
greenhouse gas in the atmosphere. The concentration of these gases has risen rapidly over …
A Comparative Study of Machine Learning and Deep Learning Techniques for Prediction of CO Emission in Cars
The most recent concern of all people on the Earth is the increase in the concentration of
greenhouse gas in the atmosphere. The concentration of these gases has risen rapidly over …
greenhouse gas in the atmosphere. The concentration of these gases has risen rapidly over …
A microscopic model of vehicle co₂ emissions based on deep learning—A spatiotemporal analysis of taxicabs in Wuhan, China
It is important to assess environmental impact of intelligent transportation systems, and
hence developing a vehicle emission model with high accuracy has been a long-standing …
hence developing a vehicle emission model with high accuracy has been a long-standing …
Predicting hybrid vehicles' fuel and electric consumption using multitask learning
VSV Uddagiri, SNB Ramalingam… - 2021 ieee 8th …, 2021 - ieeexplore.ieee.org
Predicting energy (fuel and electric) consumption of hybrid vehicles is important on different
levels: vehicle industry as a whole, individuals, and can also pave the way towards a more …
levels: vehicle industry as a whole, individuals, and can also pave the way towards a more …
A two-stage deep learning based approach for predicting instantaneous vehicle speed profiles on road networks
Prediction of vehicle speed profiles is vital to many transportation and vehicular applications.
However, accurately predicting these profiles remains challenging due to the complex and …
However, accurately predicting these profiles remains challenging due to the complex and …
DeepFEC: Energy consumption prediction under real-world driving conditions for smart cities
S Elmi, KL Tan - Proceedings of the Web Conference 2021, 2021 - dl.acm.org
The status of air pollution is serious all over the world. Analysing and predicting vehicle
energy consumption becomes a major concern. Vehicle energy consumption depends not …
energy consumption becomes a major concern. Vehicle energy consumption depends not …